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JBrowse 2

A pluggable open-source platform for visualizing and integrating biological data.

Includes a full-featured web application, embeddable components for developers, and soon a desktop application.



Command line tools


  • Coming soon
screenshot of jbrowse 2


  • Linear, circular, dotplot, and synteny views for improved structural variant and comparative genomics visualization
  • Support for many common data types including BAM, CRAM, tabix indexed VCF, GFF, BED, BigBed, BigWig, and several specialized formats
  • Plugin ecosystem which can add additional view types, track types, data adapters, and more, for nearly endless extensibility
  • And more!
See a summary of features and comparison to JBrowse 1 here


Research citations are one of the main metrics the JBrowse project uses to demonstrate our relevance and utility when applying for funding to continue our work. If you use JBrowse in research that you publish, please cite the most recent JBrowse paper

Buels, Robert, et al. "JBrowse: a dynamic web platform for genome visualization and analysis." Genome Biology 17.1 (2016): 66.


JBrowse is released under the Apache License, Version 2.0

Funding and Collaboration

JBrowse development is supported by the US National Institutes of Health, The Chan Zuckerberg Initiative, The Ontario Institute for Cancer Research, and University of California, Berkeley.